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Visualizing statistical significance of disease clusters using cartograms
BACKGROUND: Health officials and epidemiological researchers often use maps of disease rates to identify potential disease clusters. Because these maps exaggerate the prominence of low-density districts and hide potential clusters in urban (high-density) areas, many researchers have used density-equ...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433035/ https://www.ncbi.nlm.nih.gov/pubmed/28506288 http://dx.doi.org/10.1186/s12942-017-0093-9 |